This is home page of MVL Lab5, a multi-modal indoor person localization
dataset, which was captured as part of our work on multi-modal person detection,
localization and identification. The dataset was captured using four calibrated and
time-synchronized video cameras and Ubisense localization system, which is based
on Ultra-Wideband radio technology. A 6.5-minute sequence involving five individuals
walking around a realistically cluttered room was captured and manually annotated.
The main part of dataset are undistorted down-scaled (512×384) video frames and location
events data from radio-based system, along with calibration data and ground-truth
annotations. In addition, full-sized (2048×1536) undistorted and original video
frames are also provided. At the time of writing, this is the first publicly-available
dataset that comprises both video frames from multiple calibrated views and location
events from a radio-based localization system. We hope it will prove useful to other
researchers in their work, primarily in the field of person detection, identification and
tracking, but also possibly in other fields.

Note: Due to its size, the dataset is broken
down into several archives, each containing a certain part - undistorted
down-scaled frames, undistorted full-sized frames, original frames, other
data and Matlab code). All archives are compressed using
7zip utility; large archives were
split into 500 MB parts. Documentation for the dataset is provided
in form of a technical report, also listed below.